• Title/Summary/Keyword: Google map

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GEO-MAPPING MASHUPS USING OPEN APIS: THE STATE-OF-THE-ART AND AN APPLICATION FOR GEO-SPATIAL WEB

  • Park, Yong-Jae;Lee, Ki-Won
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.45-48
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    • 2008
  • Since the mid-2000, so-called Web 2.0 paradigm was emerged and has been widely extended to actual Web markets with supporting Web technologies. Among Web 2.0 services, mashups with Open APIs is regarded as one of core technologies. Web mapping is also the most dominant mashup application in Open API-based applications, so that various mashups with Google Map API and other Open APIs are developing. In this paper, current technological status is explained with web GIS file formats of KML. While, a prototype is web-based GIS layer authoring system for general users, without any kinds of GIS tools and external spatial databases. This mashup application will be used web-based feature extraction for geo-spatial web for public users.

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Implementation of the outdoor location tracking system by using Zigbee (Zigbee를 이용한 실외 위치추정 시스템 구현)

  • Kim, Hwan-Yong;Lim, Soon-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.306-310
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    • 2012
  • Location tracking system represents position by searching objects and humans. In this paper I would like to write about RF chip support Zigbee which is called CC2420. In simulated network circumstance, we can get the information about mobile-node by sending it to sink-node. Position finding is in error by 3m at outdoor environment. The error scale is acceptable within easy range of naked eyes. It can be overcome by using GPS information and Google maps with the wireless networking background.

Development of Smart Healthcare Scheduling Monitoring System for Elderly Health Care

  • Cho, Sooyong;Lee, Sang Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.51-59
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    • 2018
  • Health care has attracted a lot of attention, recently due to an increase in life expectancy and interest in health. Various biometric data of the user are collected by using the air pressure sensor, gyro sensor, acceleration sensor, and heart rate sensor to perform the Smart Health Care Activity Tracker function. Basically, smartphone application is made and tested for biometric data collection, but the Arduino platform and bio-signal measurement sensor are used to confirm the accuracy of the measured value of the smartphone. Use the Google Maps API to set user goals and provide guidance on the location of the user and the points the user wants. Also, the basic configuration of the main UI is composed of the screen of the camera, and it is possible for the user to confirm the forward while using the application, so that accident prevention is possible.

A Study on the Service Model for Custom-tailored Geospatial Services (맞춤형 지리정보 제공서비스 모델연구)

  • Kim, Eun-Hyung
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.150-158
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    • 2008
  • 참여와 공유 개방을 모토로 하는 Web 2.0이 GIS 기술과 접목되면서 GIS 분야에서의 새로운 패러다임으로 제시되고 있는 것이 Where2.0이다. Where2.0은 지리정보와 시맨틱웹을 연동하는 새로운 패러다임으로 Google의 Google Map이나 Microsoft의 Virtual Earth에서처럼 '나만의 지도'라는 새로운 비즈니스 및 서비스 모델이 각광을 받고 있다. GIS 시장적 측면에서 보면 Where 2.0 패러다임의 확산은 전문가 중심(Doer)의 GIS에서 일반사용자 중심(Viewer)의 GIS 시장의 확대로 나타나고 있으며, 비즈니스지원시장과 개인생산성 시장이 지속적으로 확대될 것으로 전망되고 있다[IDC2004]. 이에 본 고에서는 최근 이슈로 대두되고 있는 Geospatial Web의 기술적 동향을 살펴보고, 새로운 GIS 패러다임 속에서 보다 효과적인 지리정보 서비스를 제공할 수 있는 맞춤형 지리정보 제공 서비스 개념 및 모델을 제시하도록 한다.

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Multiclass image expression classification (다중 클래스 이미지 표정 분류)

  • Oh, myung-ho;Min, song-ha;Kim, Jong-min
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.701-703
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    • 2022
  • In this paper, we present a multi-class image scene classification method based on map learning. We were able to learn from the convolutional neural network model in the dataset, classify facial scene images of multiclass people, and classify the optimized CNN model into the Google image dataset in the experiment with significant results.

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Enhanced Mutual Authentication Scheme based on Chaotic Map for PCM in NFC Service Environment

  • Park, Sung-Wook;Lee, Im-Yeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1180-1200
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    • 2017
  • Currently, automated payment services provide intuitive user interfaces by adapting various wireless communication devices with mobile services. For example, companies like Samsung, Google, and Apple have selected the NFC payment method to service payments of existing credit cards. An electronic payment standard has been released for NFC activation within Korea and will strengthen the safety of payment service communications. However, there are various security risks regarding the NFC-based electronic payment method. In particular, the NFC payment service using the recently released lightweight devices cannot provide the cryptographic strength that is supported by many financial transaction services. This is largely due to its computational complexity and large storage resource requirements. The chaotic map introduced in this study can generate a highly complicated code as it is sensitive to the initial conditions. As the lightweight study using the chaotic map has been actively carried out in recent years, associated authentication techniques of the lightweight environment have been released. If applied with a chaotic map, a high level of cryptographic strength can be achieved that can provide more functions than simple XOR operations or HASH functions. Further, this technique can be used by financial transaction services. This study proposes a mutual authentication technique for NFC-PCM to support an NFC payment service environment based on the chaotic map.

A Study on Humanity Convergence Map using space metaphor and POI (point of interest) of Big Data (빅데이터 중 POI와 공간 메타포를 활용한 인문 융합 지도 연구)

  • Lee, Won-Tae;Kang, Jang-Mook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.43-50
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    • 2015
  • Google, Yahoo, Daum and Naver has the POI(point of interest) service. And POI on the map is expending to social commerce, SNS, social game and social shopping. At the same time the uses's position on the map is the starting point of the Humanities Story. That means our current position is the place for stories of tales, children's song, fictional characters, the film background, lyrics and the birth of great people. This study points out that service has the limited to cafe, restaurant and hospital, and suggests the Humanities fusion Map Service which is combined with the POI information.

A Study on Real-time Environmental Noise Mapping based on AWS Cloud (AWS 클라우드 기반 실시간 환경소음지도 제작 연구)

  • JOO, Yong-Jin;CHO, Jin-Su
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.174-183
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    • 2021
  • This study aims to suggest a method to provide a real-time noise map based on cloud using Amazon AWS. Acquiring environmental noise information, an Android app was developed to collect data on noise level, location, and measurement time of campus in Inha Technical College as a study area. Noise measurement information is transmitted to the AWS Cloud and managed, and the noise information collected through Amazon Quick Site is displayed in charts and maps. Finally, a web-based noise contour map and the results mapped to buildings were visualized with a Google map for users to search for the current environmental noise distribution. The real-time noise map presented as a result of this study is expected to be helpful for noise status and reduction policies.

An Integrated Region-Related Information Searching System applying of Map Interface and Knowledge Processing (맵 인터페이스와 지식처리를 활용한 지역관련정보 통합검색 시스템)

  • Shin, Jin-Joo;Seo, Kyung-Seok;Jang, Yong-Hee;Kwon, Yong-Jin
    • Spatial Information Research
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    • v.18 no.4
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    • pp.129-140
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    • 2010
  • Large portal sites such as Google, NAVER provide Various services based on the map. Thus, interest and demand of users who want to obtain the region-related information has been increased. And services that combine the regional information with the map are provided currently at the large portal sites. However, the existing services of large portal sites do not provide enough detailed information and are inconvenient because acquisition process of related information is repeated. Therefore, the system that enables users to obtain detailed information related on the specific region synthetically and easily is needed. In this paper, we propose a system model using map interface and knowledge-processing in order to build the system that is useful for acquiring regional information. The model consists of 3-Layers: 'Regional Information Web-Documents Layer', 'Unique Regional Information Layer', and "Map-Interface Layer'. The Integrated Region~Related Information Searching System based on the model is implemented through the following 4-steps: (1) extracting the keywords that represent specific region (2) collecting the related web pages (3) extracting a set of related keywords and computing an association between the keywords (4) implementing a user interface. We verified validity on the model we proposed. knowledge-processing algorithm using affinity matrix, and UI that help users conveniently search by applying the system to region of the Goyang City. This system integrates regional information existing merely individual 'information' and provides users the 'knowledge' that is newly produced and organized. Users can obtain various detailed regional information and easily get related information through this system.

Generation of Stage Tour Contents with Deep Learning Style Transfer (딥러닝 스타일 전이 기반의 무대 탐방 콘텐츠 생성 기법)

  • Kim, Dong-Min;Kim, Hyeon-Sik;Bong, Dae-Hyeon;Choi, Jong-Yun;Jeong, Jin-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1403-1410
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    • 2020
  • Recently, as interest in non-face-to-face experiences and services increases, the demand for web video contents that can be easily consumed using mobile devices such as smartphones or tablets is rapidly increasing. To cope with these requirements, in this paper we propose a technique to efficiently produce video contents that can provide experience of visiting famous places (i.e., stage tour) in animation or movies. To this end, an image dataset was established by collecting images of stage areas using Google Maps and Google Street View APIs. Afterwards, a deep learning-based style transfer method to apply the unique style of animation videos to the collected street view images and generate the video contents from the style-transferred images was presented. Finally, we showed that the proposed method could produce more interesting stage-tour video contents through various experiments.